Recognition of Broken Characters from Historical Printed Books Using Dynamic Bayesian Networks

Authors:
L. Likforman-Sulem;M. Sigelle
Affiliations:
Ecole Nationale Supérieure des Télécommunications/TSI and CNRS LTCI UMR 5141;Ecole Nationale Supérieure des Télécommunications/TSI and CNRS LTCI UMR 5141
Venue:
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Year:
2007

Citing 0
Cited 1

Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper first gives an overview on the technical advances in the field of character and document rec- ognition, decade by decade. Then, it highlights key technical developments especially for Kanji (Chinese character) recognition in Japan. Technical ...